作者: K. P. O'Donnell , M. G. Pajaro , A. C. J. Vincent
DOI: 10.1111/J.1469-1795.2010.00377.X
关键词:
摘要: Despite a growing interest in incorporating fisher knowledge into quantitative conservation assessments, there remain practical impediments to its use. In particular, is some debate about the accuracy of knowledge. this study, we report an attempt quantify assumptions how accurately fishers past events (retrospective bias). Then examine assumption make retrospective bias affects characterization changes fishery and extinction risk. We link interviews logbooks establish catch rate (catch per unit effort) trend for history data-poor, small-scale seahorse Philippines. find that perceive historic declines fishing are not apparent more recent logbook trends, extent decline (and therefore risk) hinges on recall. Scenarios ignore result most severe worrying risk classifications. Furthermore, baseline set by suggests relying decades data alone may underestimate our study species, others have been historically exploited. Attempting with also illustrates differences between fisher-derived datasets: exaggerate early rates capture less variability than logbooks. addition being first reconstruction, work contributes emerging can guide assessment. Future studies incorporate assessments require (1) clearly stated bias; (2) clear criteria compare collected different methods; (3) evaluation impact assessments.